Triple

T12938392
Position Surface form Disambiguated ID Type / Status
Subject LNB Pro A E309573 entity
Predicate governingBodyAbbreviation P2886 FINISHED
Object LNB
LNB is the French professional basketball league that organizes and oversees the country’s top men’s club competitions.
 E1011157 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: LNB | Statement: [LNB Pro A, governingBodyAbbreviation, LNB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LNB
Context triple: [LNB Pro A, governingBodyAbbreviation, LNB]
  • A. LNB
    LNB is the acronym for the Latvian National Library, the central repository of Latvia’s published heritage and a major cultural and research institution.
  • B. LBN
    LBN is the three-letter ISO 3166-1 alpha-3 country code for Lebanon.
  • C. LBN
    LBN is the station code for Lambeth North Underground station on the London Underground network.
  • D. LBC
    LBC is a leading UK-based national talk radio station known for its news, politics, and phone-in discussion programmes.
  • E. LNS
    LNS is the commonly used abbreviation for the Laboratory for Nuclear Science, a research institution focused on advancing the understanding of nuclear and particle physics.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: LNB
Triple: [LNB Pro A, governingBodyAbbreviation, LNB]
Generated description
LNB is the French professional basketball league that organizes and oversees the country’s top men’s club competitions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LNB
Target entity description: LNB is the French professional basketball league that organizes and oversees the country’s top men’s club competitions.
  • A. LNB
    LNB is the acronym for the Latvian National Library, the central repository of Latvia’s published heritage and a major cultural and research institution.
  • B. LBN
    LBN is the three-letter ISO 3166-1 alpha-3 country code for Lebanon.
  • C. LBN
    LBN is the station code for Lambeth North Underground station on the London Underground network.
  • D. LBC
    LBC is a leading UK-based national talk radio station known for its news, politics, and phone-in discussion programmes.
  • E. LNS
    LNS is the commonly used abbreviation for the Laboratory for Nuclear Science, a research institution focused on advancing the understanding of nuclear and particle physics.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97dc8c0848190946e109ec98e4479 completed April 10, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af6ef89881908ec3138b9f4a8b1a completed May 3, 2026, 2:14 a.m.
NEDg Description generation batch_69f6b0660b188190a67bfff73b882d92 completed May 3, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69f6b1aa191081908266128776a2147a completed May 3, 2026, 2:23 a.m.
Created at: April 9, 2026, 5:43 p.m.